发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Facilitates collaborative research ideation to generate novel hypotheses, identify research gaps, and develop innovative scientific methodologies.
Generates professional Excel pivot tables and visualizations from raw data using simple natural language commands.
Predicts high-accuracy 3D protein-ligand binding poses using state-of-the-art diffusion-based deep learning models.
Provides a comprehensive toolkit for time series machine learning including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
Predicts future values and identifies patterns in historical time-dependent data using advanced statistical models.
Automates regression modeling and data analysis to identify relationships between variables and predict future trends.
Productionizes machine learning models and builds scalable MLOps systems with world-class engineering standards.
Implements systematic evaluation strategies for LLM applications using automated metrics, human feedback, and comparative benchmarking.
Automates the integration and configuration of experiment tracking tools like MLflow and Weights & Biases for machine learning projects.
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Automates the fine-tuning and adaptation of pre-trained machine learning models for specific tasks and new datasets.
Automates complex Google Vertex AI multimodal operations for advanced video processing, high-fidelity image generation, and end-to-end marketing campaign orchestration.
Builds robust, production-grade backtesting systems for trading strategies with specialized handling of biases and transaction costs.
Transforms raw datasets into insightful charts, plots, and graphs using intelligent data analysis and automated library selection.
Builds and executes automated ETL pipelines for cleaning, validating, and transforming raw datasets into model-ready formats.
Orchestrates complex multi-agent systems using the AI SDK v5 to facilitate intelligent task routing and seamless agent handoffs.
Generates publication-ready clinical decision support documents, biomarker-stratified cohort analyses, and evidence-based treatment guidelines.
Analyzes, manipulates, and visualizes phylogenetic and hierarchical trees for genomic research and bioinformatics.
Develops, deploys, and manages serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.
Accesses and analyzes comprehensive pharmaceutical data from DrugBank for research, drug discovery, and interaction analysis.
Queries the NHGRI-EBI GWAS Catalog for genetic variant associations, study metadata, and summary statistics.
Conducts real-time academic research and technical documentation searches using Perplexity's Sonar models with automated citations.
Identifies outliers and unusual patterns in datasets using advanced machine learning algorithms.
Executes autonomous multi-step biomedical research tasks across genomics, drug discovery, and clinical analysis.
Automates the fine-tuning and adaptation of pre-trained machine learning models for new tasks and datasets.
Provides rapid access to 20+ genomic databases and bioinformatics tools for gene searching, sequence alignment, and protein structure prediction.
Optimizes deep learning models by refining architectures, tuning hyperparameters, and improving training efficiency.
Automates the creation of professional-grade Leveraged Buyout (LBO) models in Excel for private equity and investment analysis.
Enables efficient searching, metadata retrieval, and PDF downloads from the bioRxiv preprint server for life sciences research.
Create publication-quality statistical graphics and complex data visualizations using the Seaborn Python library.
Scroll for more results...